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--- |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-410m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Malawi-Public-Health-Systems |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Malawi-Public-Health-Systems |
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This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9453 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 400 |
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- total_train_batch_size: 400 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1272 | 71.32 | 120 | 3.2478 | |
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| 0.1003 | 142.64 | 240 | 3.6082 | |
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| 0.1017 | 213.97 | 360 | 3.7057 | |
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| 0.1001 | 285.29 | 480 | 3.7969 | |
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| 0.0949 | 356.61 | 600 | 3.8484 | |
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| 0.0984 | 427.93 | 720 | 3.8783 | |
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| 0.0956 | 499.26 | 840 | 3.9172 | |
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| 0.0955 | 570.58 | 960 | 3.9453 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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